Different Technologies Pty Ltd.

Who are we looking for? You enjoy working on complex data problems whilst being able to suggest simple (yet effective) solutions. You are comfortable working with uncertainty and like to make things clearer. You're passionate about technology and keep up as it evolves. You focus on the future and thrive most when solving problems. Client's love working with you. You are honest and do things when you say you will, you also know how to explain things clearly and concisely. You can educate and inspire. You've got a background in data science, machine learning algorithms and data engineering along with their technologies. You're equally comfortable presenting to clients, providing advice or building prototypes. You're a collaborator and enjoy stepping out of your role from time to time, whether it's to support your clients, colleagues or to learn something new. What might you be doing? Leading client projects and providing subject matter expertise. Working in scrum-like environments for iterative and 'fail-fast' work and innovation. Assessing your clients' business and technical needs with the ability to identify opportunities for data science to be used and managing clients' stakeholders' relationship appropriately. Solving problems using data science techniques and in a scientifically robust fashion. Identifying data sources that are relevant to client needs, and related data science concepts that leverage those sources to aid the client. Working with various forms of data (e.g., unstructured, semi-structured or structured; text, time-series or image) and suitably modelling them (e.g., table, key-value pair, graph) for efficient data science use. Investigating and analysing data to see 'the wood from the trees' and drilling down to the 'whys' of the data. Applying statistical and evidence-based techniques to inform insights and actions from the data. Communicating technical content at the right level both internally and to customers. Presenting to the client, using data science tooling and investigation, a 'story' of the data. Building maintainable code that use existing data science libraries, implement existing data science techniques, or implement novel techniques. Designing, evaluating, and implementing on-premise, cloud-based and hybrid data science and machine learning techniques and algorithms (including providing relevant review and guidance on testing aspects, identification of risks and proposing and implementing their mitigations). Developing scalable models and algorithms that can be deployed into production environments. Applying ethical principles in handling data. Accurately delivering high quality work to agreed timelines and taking the initiative and knowing how to jump straight in. Supporting client engagements, including pitches and presentations. Helping to support & grow Daintta by actively inputting into the company strategy and helping to shape our future. Representing us and our core values: transparent, fair and daring. Sounds like something you'd enjoy? Here's a bit more about you: You have 5+ years of degree level industry experience in data science. You have extensive degree level experience in a STEM subject. You have experience of working in a consultancy, engineering, or data industry. You have led client delivery across a range of projects, including data science, data engineering, data security and proven experience in relevant technologies (e.g., Python applied to data science). You have experience working on cloud-based infrastructure (e.g., AWS, Azure, GCP). You have demonstrable continuous personal development. You have strong interpersonal skills. You have experience with using CI/CD tooling to analyse, build, test and deploy your code and proven experience in their technologies. You have experience in database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases). You have a good understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting. Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. What's in it for you? You will be joining the company at Daintta "Manager" grade. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations. Time to tell you about us! We are Daintta. We provide deep expertise with technical and business specialists to help clients and organisations secure and protect the UK. In complex environments, we use innovative methods to solve the hardest data challenges to help organisations make more informed and accurate decisions, at scale and faster. We are agile, responsive, independent, and collaborative while our values of Fair, Transparent and Daring guide all our decision making. Security Information Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To qualify, you must be a British Citizen and have resided in the UK for the last 5 years. For more information about clearance eligibility, please see

Job Title: Customer Success Manager- FinTech (Intermediated Lending) Location: Manchester, with hybrid working available (2-3 days per week onsite in Manchester) Industry: Financial Technology (FinTech) Job Type: Full-Time The Role: We are seeking a Customer Success Manager (CSM) to join a fast-growing fintech start-up. This role focuses on implementation and delivery, requiring a strong project manager and stakeholder manager who can independently handle complex deliveries and elevate customer engagement from support to a strategic partnership. What You'll Do: As a Customer Success Manager, you will work directly with clients to ensure they get the most value from our products and services. You will manage day-to-day client communications, support project initiatives, and play an active role in the success of our customer accounts. Your focus will be on enhancing client satisfaction, supporting upsell initiatives, and ensuring seamless collaboration between teams. Implementation & Delivery: Own the onboarding and implementation process for B2B SaaS clients, ensuring seamless delivery and client satisfaction. Project Management: Manage end-to-end delivery timelines, resource planning, and issue resolution, going beyond basic project tracking. Client Engagement: Act as the primary point of contact for clients, fostering strong relationships, identifying needs, and unlocking growth opportunities. Stakeholder Management: Work effectively with internal and external stakeholders to manage expectations, resolve conflicts, and ensure alignment. Commercial Capability: Spot and act on upsell or cross-sell opportunities while maintaining a client-first approach. Process Improvement: Contribute to the improvement of implementation and customer success processes to streamline operations and enhance client outcomes. What You'll Bring to the Table: Experience: 3-5 years in a customer-facing role, ideally in B2B SaaS implementation or project management. Skills: Proven expertise in project management and stakeholder management with a track record of independent delivery in complex environments. Domain Expertise: A financial services background, particularly with brokers, lenders (track record in intermediate lending), or paper-based processes Customer Success: Prior experience in customer success is advantageous but not mandatory. Capabilities: Commercially savvy, with the ability to identify client needs and growth opportunities. Technical Acumen: Comfortable working with B2B SaaS products, with the ability to understand technical integrations and workflows. If you're ready to support impactful client relationships in a dynamic and growing company, we encourage you to apply and be part of our journey. Contact: Elvis Eckardt

Daintta are a rapidly growing, values-driven team of specialists who work with public sector and government clients across Cyber, Telecommunications and Data. We are seeking a talented and motivated Cyber Security Consultant to join our team and contribute to our mission of protecting the UK through data-driven insights and solutions. We are looking for a Strategy, Engagement & Risk Consultant who intuitively understands clients' needs, considers both immediate and strategic goals, and can apply their experience creatively to meet new and complex challenges. Key Responsibilities Cyber Strategy Development: Supporting the development and roll out of cyber security strategies, capabilities, and operating models to meet our clients' goals. Stakeholder Management: Understanding our clients' needs, challenges, and opportunities, and building strong relationships with key stakeholders as a trusted partner and 'critical friend'. Risk Management: Undertaking risk and maturity assessments, providing strategic guidance on how to improve cybersecurity posture using a risk-based approach with articulation of mitigations/ controls and their respective impact on reducing risk. Communication: Utilising strong written and verbal communication skills to support presentations, reports, and broader communications to a diverse set of audiences including C-Suite stakeholders, including the translation of technical concepts into business language. Control Implementation: Implement security controls utilising knowledge of how security controls interact with IT service delivery. Delivery: Accurately delivering high quality work to agreed timelines, taking the initiative, utilising the strength of the wider team appropriately to support you, and knowing how to jump straight in. Growth: Helping to support & grow Daintta by actively contributing towards the company strategy and helping to shape our future. Our Values: Representing us and our core values: transparency, fairness and daring. Skills/Knowledge You have relevant industry experience undertaking strategic, cyber security projects. You may have a degree or qualification in cybersecurity, IT or a related area, or otherwise demonstrable experience in a related field. You have working knowledge and/or experience of best practice industry frameworks and standards, such as NIST, CAF and ISO27001. You demonstrate continued personal development through relevant certifications, academic qualifications, hobbies, and/or wider interests. You have strong interpersonal skills. You have UK security clearance at SC or above or are eligible and willing to go through clearance. Location Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. What's in it for you? You will be joining the company at Daintta 'Consultant' grade. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations. Security Information Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To qualify, you must be a British Citizen and have resided in the UK for the last 5 years. For more information about clearance eligibility, please see .

We are seeking a highly skilled Security Operations professional with a deep understanding of Cyber Security Operations Centre (SOC) practices. You excel in analysing and enhancing the effectiveness of SOC operations, threat detection, and incident response. Your expertise lies in deploying, configuring, and managing security tools and technologies within SOC environments. Clients value your proficiency, integrity, and your ability to deliver precise and actionable SOC recommendations. You are a collaborative team player, eager to go above and beyond to support clients, colleagues, and stay abreast of emerging technologies and threats in the SOC landscape. Who are we? We are Daintta. We provide deep expertise with technical and business specialists to help clients and organisations secure and protect the UK. In complex environments, we use innovative methods to solve the hardest data challenges to help organisations make more informed and accurate decisions, at scale and faster. We are agile, responsive, independent, and collaborative while our values of Fair, Transparent and Daring guide all our decision making. What's in it for you? You will be joining Daintta at a "Manager" grade. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. Key Responsibilities Lead and participate in the enhancement of Cyber Security Operations Centre (SOC) capabilities, leveraging your subject matter expertise. Assess SOC operational needs, distinguishing between immediate requirements and long-term strategic objectives. Manage stakeholder relationships effectively. Deploy, configure, and manage security tools within the SOC environment to ensure optimal threat detection and response capabilities. Conduct regular reviews and fine-tuning of SOC processes, procedures, and technologies to improve efficiency and effectiveness. Collaborate with cross-functional teams to integrate threat intelligence feeds, playbooks, and response workflows into SOC operations. Develop, document, and communicate SOC playbooks and incident response plans to ensure a coordinated and effective response to security incidents. Stay updated on emerging threats and trends in SOC operations, providing proactive advisory to clients on potential impacts and improvements. Conduct periodic SOC readiness assessments, identifying gaps and proposing targeted enhancements. Draft and communicate technical SOC policies, standards, and guidelines, tailored to operational environments. Provide expert guidance on SOC tool selection, adoption, and configuration to align with clients' operational environments and requirements. Collaborate with clients on SOC operational enhancements, providing expertise in threat detection and incident response. Skills/Knowledge Minimum of 5 years of industry experience in Cyber Security Operations Centre (SOC) consulting or related roles. Strong knowledge of SOC best practices, threat detection, incident response, and relevant regulations (e.g., GDPR, NIST, ISO 27001, etc.). Experience deploying, configuring, and managing security tools within SOC environments (e.g., SIEM, IDS/IPS, EDR, etc.). Bachelor's degree in Cybersecurity, Computer Science, or related field. (Master's degree preferred) Relevant certifications in cyber security and SOC operations (e.g., CISSP, GCIA, GCIH, etc.). Strong analytical and problem-solving skills. Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders. Ability to work collaboratively in cross-functional teams. Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. Security information Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To qualify, you must be a British Citizen and have resided in the UK for the last 5 years. For more information about clearance eligibility, please see .

London, Canary Wharf, GB - Hybrid (Remote and In Person) Mindgard is a London-based startup specializing in AI security. We've spun out from a leading UK university, and our mission is to secure the future of AI against cyber attacks targeting Deep Learning, GenAI, and LLMs. This is an unsolved challenge globally, and we are among the world's first to offer a solution to this rapidly growing problem. We've raised $4M from an excellent group of investors, released our first product offering: Mindgard AI Security Labs, and continue to build a team of engineers to join us on our journey. We're seeking a Research Scientist to join our R&D team, who is passionate about working on practical security problems within AI/ML. What you will be doing: Design, evaluate, and implement adversarial ML attacks and detection techniques. Work and collaborate with the R&D and engineering teams to push/translate adversarial ML techniques into production software for AI red teaming. Uncover ML security threats, analyze data and discover feature commonality. Engage in research collaboration, publications, and conference attendance. Keep the company updated on state-of-the-art research in adversarial ML. Who you are: PhD in Computer Science, with a specialism within AI/ML security and/or adversarial ML. An excellent track record of high-quality publications in top AI/ML or cyber security venues. We care about quality over quantity, and research that has industry application. Good programming skills in languages such as Python. Ability to supervise PhD students. We have a cohort of PhD students that you would have the opportunity to work and publish with. Optimism, kindness, and excellent communication skills. Ability to lead and contribute to research projects. Our Selection Process: An initial call to help you get to know us better and to share more information about Mindgard and the role. A challenge related to the job. This will really help us understand your skillset and give you an idea of the type of things you will be working on at Mindgard. An opportunity to meet with a few members of the Mindgard team. An interview with our Co-founder. Before you go, we want you to know! Studies have shown that some groups of people are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you don't meet all of the above criteria, but you think you'd be a great addition to Mindgard, we encourage you to apply as you might just be the candidate we hire. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.

Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber, Telecommunications and Data. We are seeking a talented and motivated Data Scientist to join our team and contribute to our mission of protecting the UK through data-driven insights and solutions. As a Data Scientist, you will work closely with our public sector clients and project teams to collect, analyse and interpret complex data sets, providing valuable insights that support evidence-based decision-making. Key Responsibilities Working on client projects and providing subject matter expertise. Working in scrum-like environments for iterative and 'fail-fast' work and innovation. Working in cross-disciplinary teams. Assessing your clients' business and technical needs with the ability to identify opportunities for data science to be used and managing clients' stakeholders' relationship appropriately. Solving problems using data science techniques and in a scientifically robust fashion. Identifying data sources that are relevant to client needs, and related data science concepts that leverage those sources to aid the client. Working with various forms of data (e.g., unstructured, semi-structured or structured; text, time-series or image) and suitably modelling them (e.g., table, key-value pair, graph) for efficient data science use. Investigating and analysing data to see 'the wood from the trees' and drilling down to the 'whys' of the data. Applying statistical and evidence-based techniques to inform insights and actions from the data. Communicating technical content at the right level both internally and to customers. Presenting to the client, using data science tooling and investigation, a 'story' of the data. Building maintainable code that use existing data science libraries, implement existing data science techniques, or implement novel techniques. Designing, evaluating, and implementing on-premise, cloud-based and hybrid data science and machine learning techniques and algorithms (including providing relevant review and guidance on testing aspects, identification of risks and proposing and implementing their mitigations). Developing scalable models and algorithms that can be deployed into production environments. Applying ethical principles in handling data. Accurately delivering high quality work to agreed timelines and taking the initiative and knowing how to jump straight in'. Supporting client engagements, including pitches and presentations. Helping to support & grow Daintta by actively inputting into the company strategy and helping to shape our future. Representing us and our core values: transparent, fair and daring Skills/Knowledge You have 2+ years of degree level industry experience in data science. You have extensive degree level experience in a STEM subject. You have experience of working in a consultancy, engineering, or data industry. You have worked in client delivery across a range of projects, including data science, data analytics, data engineering, data intelligence, data security and proven experience in relevant technologies (e.g., Python applied to data science). You have experience working on cloud-based infrastructure (e.g., AWS, Azure, GCP). You have demonstrable continuous personal development. You have strong interpersonal skills. You have experience with using CI/CD tooling to analyse, build, test and deploy your code. You have experience in database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases). You have a good understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting. Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. What's in it for you? You will be joining the company at Daintta "Consultant" grade. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations. Security Information Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To qualify, you must be a British Citizen and have resided in the UK for the last 5 years. For more information about clearance eligibility, please see

Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber, Telecommunications and Data. We are seeking a talented and motivated Data Architect to join our team and contribute to our mission of protecting the UK through data-driven insights and solutions. As a Data Architect, you will work closely with our public sector clients and project teams to collect, analyse and interpret complex data sets, providing valuable insights that support evidence-based decision-making. Key Responsibilities Leading client projects and providing subject matter expertise Assessing your clients' technical needs and understanding how their needs are different from wants and managing clients' stakeholders relationship appropriately Identifying data sources, data extraction, transformation, and loading (ETL/ELT) concepts and methods Developing suitable data governance and provenance strategies and how they will be implemented in data architecture Designing and evaluating on-premise, cloud-based and hybrid data solutions (including providing review and guidance on testing aspects, identification of risks and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Understanding industry-recognised data modelling patterns and standards, and when to apply them. Compare and align different data models. Designing appropriate metadata repositories and presenting changes to existing metadata repositories Understanding a range of tools for storing and working with metadata Designing data architecture that deals with problems spanning different business areas, producing appropriate design patterns (often supporting data science, business intelligence and business reporting purposes) Applying ethical principles in handling data Ensuring appropriate storage of data in line with relevant legislation Building in security, compliance, scalability, efficiency, reliability, fidelity, flexibility and portability Accurately delivering high quality work to agreed timelines and taking the initiative Supporting client engagements, including pitches and presentations Helping to support & grow Daintta by actively inputting into the company strategy and helping to shape our future Representing us and our core values: Transparent, Fair and Daring Skills/Knowledge You have 5+ years of degree level industry experience in data related industries (e.g. as a data engineer, data analyst, data scientist) and more recently as a data architect, preferably in a consultancy or industry setting You have proven experience in listening to the needs of technical and business stakeholders, interpreting them into data problems and/or engineering problems and suitably designing data architectures You have led client delivery across a range of projects for delivering data platforms, e.g. data analysis, ETL/ELT, machine learning pipelines/deployments, business intelligence reporting, data security. You have proven experience in their technologies You have developed data governance plans that are in line with ethical considerations, (cyber)security & relevant legislation, and designed their implementation You have experience working on cloud-based infrastructure (e.g. AWS, Azure, GCP) You have demonstrable continuous personal development with relevant data certifications and accreditations You have experience with CI/CD tooling to analyse, build, test and deploy code and proven experience in their technologies You understand deployment and DevOps strategies (on-prem and cloud) to support the design of data architectures that will be deployed You have experience in database technologies including writing complex queries against their (relational and non-relational) data stores (e.g. Postgres, Apache Hadoop, Elasticsearch, Graph databases), and designing the database schemas to support those queries You have a good understanding of coding best practices & design patterns and experience with code & data versioning, dependency management, error handling, logging, data monitoring, data validation and alerting You have strong interpersonal skills You have UK security clearance at SC or above or are eligible and willing to go through clearance Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. What's in it for you? You will be joining the company at Daintta "Manager" grade. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations. Security Information Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To qualify, you must be a British Citizen and have resided in the UK for the last 5 years. For more information about clearance eligibility, please see .